ACL
2009
13 years 9 months ago
2009
This paper introduces the concepts of asking point and expected answer type as variations of the question focus. They are of particular importance for QA over semistructured data,...
JAPLL
2007
13 years 11 months ago
2007
Many open domain question answering systems answer questions by first harvesting a large number of candidate answers, and then picking the most promising one from the list. One c...
TREC
2001
14 years 24 days ago
2001
PiQASso is a Question Answering system based on a combination of modern IR techniques and a series of semantic filters for selecting paragraphs containing a justifiable answer. Se...
EACL
2006
ACL Anthology
14 years 25 days ago
2006
ACL Anthology
All questions are implicitly associated with an expected answer type. Unlike previous approaches that require a predefined set of question types, we present a method for dynamical...
EMNLP
2004
14 years 25 days ago
2004
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
LREC
2008
14 years 26 days ago
2008
This paper describes the creation of a state-of-the-art answer type detection system capable of recognizing more than 200 different expected answer types with greater than 85% pre...
LREC
2010
14 years 27 days ago
2010
Most question-answering systems contain a classifier module which determines a question category, based on which each question is assigned an answer type. However, setting up synt...
WWW
2004
ACM
15 years 3 days ago
2004
ACM
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...